• Title/Summary/Keyword: 극한파고

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A Statistical Method of Estimation of Extreme Sea Level (극한 파고 추정의 통계적 방법)

  • Gwon, Sun-Hong;Lee, Tae-Il;Jeon, Yeong-Gi
    • Journal of Ocean Engineering and Technology
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    • v.5 no.2
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    • pp.43-50
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    • 1991
  • 본 연구에서는 극한 파고를 추정하는 방법을 제시하였다. Type III분포에 근거해서 4가지의 방법들에 의해 분포 함수의 파라미터들을 추정하였다. 실제 자료와 추정된 분포 함수 값의 차이를 다항식을 도입하여 함으로써 그 오차를 줄였다. 이 방법들의 타당성을 보이기 위해 실제 해상의 자료들을 이용하여 분포 함수를 구하고 조우 주기들에 해당하는 극한 파고를 계산하여 보았다.

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Prediction of Extreme Design Wave Height (극한 설계 파고의 추정)

  • Chon, Y.K.;Ha, T.B.
    • Journal of the Society of Naval Architects of Korea
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    • v.33 no.1
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    • pp.145-152
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    • 1996
  • In this study, the technique to evaluate the extreme design wave height of certain return period is developed from the given measured or hindcasted sea state data of concerned area for limited period. By using the order statistics and Monte Carlo Simulation method, the best fit probability distribution function with proper parameters describing the given wave height data is chosen, from which extreme design wave height can be predicted by extrapolation to the desired return period. The fitness and the confidence limit of the chosen probability function are also discussed. Application calculation is carried out for the wave height data given by applying the Wilson wave model theory to major 50 typhoon wind data affecting Korean South coast during the year from 1938 to 1987.

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Analysis of coastal city flooding in 2D and 3D considering extreme conditions and climate change (극한 조건과 기후변화를 고려한 2차원 및 3차원 해안 도시 침수 해석)

  • Jaehwan Yoo;Sedong Jang;Byunghyun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.126-126
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    • 2023
  • 최근 대한민국에서는 기후변화로 전국 각지에서 돌발성 호우와 태풍의 강도 및 발생빈도가 높아지고 있다. 이에 따라 주요 국가시설이 위치한 해안 도시의 2차원 3차원 모형을 통해 극한 조건하 침수 분석을 수행하였다. 먼저 해양수산부 "2019년 전국 심해설계파 보고서"를 기반으로 극치분포 중 Weibull 분포를 이용하여 극한 조건, 1,000년부터 1,000,000년 빈도의 재현기간의 파도 높이와 풍속을 계산하였다. 계산 결과를 SWAN(Simulating WAves Nearshore)의 입력값으로 해상에서 100m 간격의 파고 높이를 계산하였다. 이때 100m 간격으로는 방파제 지형을 정확히 해석하지 못하였기에, 상세파고 계산을 위한 Nesting 기법을 이용하여 20m 간격의 파고 결과를 도출하였고, 해안 도시 인근 해상에서 10.916m의 파고를 예측하였다. 또한, 예측된 파고를 이용해 EurOtop(2018) 매뉴얼의 경험식을 기반으로 연구 유역으로 유입되는 월류량 계산에 사용하였다. 결과로 16방위 중 SSE 방향, 1,000,000년 빈도 재현기간 조건에서 0.0306cms/m의 월파량을 예측했다. 예측된 자료를 바탕으로 2차원 침수해석은 FLO-2D 모형, 3차원 침수해석은 FLOW-3D 모형을 이용하였다. 2차원 침수해석 결과 주요 지점에서 0.18~0.33m의 침수가 예상되었고 3차원 침수해석 결과 동일한 지점에서 0.240~0.333m의 침수가 예상되었다. 모의 결과 2차원과 3차원 모형 간 침수 예측 결과가 0.3cm에서 6.1cm의 차이를 나타내어 모형 구축이 합리적으로 이뤄졌다고 판단하였으며 연구 유역에서는 침수가 예상된다는 결과를 도출하였다. 본 연구를 통해 기후변화에 따른 해안에 위치한 주요 도시지역과 국가 주요 시설물에 대한 침수해석을 실시하였고 분석결과를 생명과 재산을 보호하기 위한 대피계획 등 재난예방대책 수립에 활용할 수 있음으로 예상된다.

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The Effect of Sampling Rate on Statistical Properties of Extreme Wave (파랑자료의 sampling rate가 극한파의 통계에 미치는 영향)

  • Kim, Do Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.16 no.1
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    • pp.36-41
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    • 2013
  • In this paper time series wave data are simulated using wave spectrum with random phases of the wave signal. The simulated wave signals are used to study the effect of the sampling rate on the ocean wave characteristics. Effect of sampling rate on wave data which include extreme wave such as freak waves are examined and various wave characteristics including abnormality index (AI), kurtosis of wave profile and maximum wave height are examined. Various wave heights are decreased as the sampling rate decreases. The zero-th moment of the wave spectrum does not affect much on the sampling rate but the second moment are greately affected on the sampling rate. The error due to the sampling rate is decreases as the wave period increases. The error in significant wave height based on the wave spectrum $H_s$ is smaller than that on the time domain method $H_{1/3}$. AI index and kurtosis of wave profile do not deviate much from the exact date as long as the sampling rate is greater than 1 Hz. Ocean wave measurement with the sampling frequency higher than 1 Hz will result the error less than 5% in estimating the height of extreme waves.

On Statistical Properties of the Extreme Waves in Hong-do Sea Area During Typhoons (홍도 해역에서 태풍 중 극한파의 통계적 특성에 대한 연구)

  • Ryu Hwanajin;Kim Do Young
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.7 no.1
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    • pp.47-55
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    • 2004
  • In this paper, The statistical properties of ocean waves in the sea area of Hong-do, Korea are examined based on 1998-2002's wave data from a directional wave buoy. Wave data aquisition rate, mean wave heights, frequency of wave direction are summarized. Wave height and period scatter diagrams and n-year return period wave heights are estimated. Wave periods of maximum wave heights are also estimated. Large amplitude wave characteristics during the typhoon Prapiroon in 2000, Rusa in 2002 are also examined.

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Reproduction of Extreme Waves Caused by Typhoon MAEMI with Wave Hindcasting Method, WAM (II) - Characteristics of extreme waves generated by Typhoon MAEMI in the south coast of Korea - (제3세대 파랑추산모형을 이용한 태풍 '매미'의 극한파랑 재현 (II) - 태풍 '매미'가 야기한 우리나라 남해안 일대의 극한파랑 특성 -)

  • Shin Seung-Ho;Hong Keyyong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2004.11a
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    • pp.219-225
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    • 2004
  • Following a preceding study if Shin et al.(2004), wave fields for a month if September if 2003 are simulated based on the modified WAM cycle 4 model that enables the precise wave hindcasting with fine spatial meshes, and characteristics of extreme waves at the south roast if Koreo are analyzed The accuracy if applied wave model is verified by comparing computed wave parameters and corresponding ones measured at Ieodo ocean research station. The wave hindasting if typhoon 'Maemi' with an hour time interval reveals the extreme wave characteristics at 4 primary locations if south coast of Korea as follows: 1) At the front sea of Chaguido in the south of Jeju-do, the maximum significant wave height, moon wave period and mean wave direction appear to be 7.41m, 13.65s and $6.4^{\circ}$, respectively at 16:00 KST if Sep. 12, 2003. 2) At the entrance of Masan Bay, 12.50m, 13.65s and $1.2^{\circ}$ at 21:00 KST if Sep. 12. 3) At the front sea of Suyoung Bay, 13.85m, 13.81s and $0.2^{\circ}$ at 22;00 KST if Sep. 12. 4) At the front sea of Ulsan port, 11.00m, 13.25s and $28^{\circ}$ at 23:00 KST if Sep.

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Reproduction of Extreme Waves Caused by Typhoon MAEMI with Wave Hindcasting Method, WAM (II) - Characteristics of extreme waves generated by Typhoon MAEMI in the south coast of Korea - (제3세대 파랑추산모형을 이용한 태풍 ‘매미’의 극한파랑 재현 (II) - 태풍 ‘매미’가 야기한 우리나라 남해안 일대의 극한파랑 특성 -)

  • Shin, Seung-Ho;Hong, Key-Yong
    • Journal of Navigation and Port Research
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    • v.28 no.8
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    • pp.745-751
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    • 2004
  • Following a preceding study of Shin et al.(2004), wave fields for a month of September of 2003 are simulated based on the modified WAM cycle 4 model that enables the precise wave hindcasting with fine spatial meshes, and characteristics of extreme waves at the south coast of Korea are analyzed The accuracy of applied wave model is verified by comparing computed wave parameters and corresponding ones measured at Ieodo ocean research station. The wave hindcasting of typhoon 'Maemi' with an hour time interval reveals the extreme wave characteristics at 4 primary locations of south coast of Korea as follows: 1) At the front sea of Chaguido in the south of Jeju-do, the maximum significant wave height, mean wave period and mean wave direction appear to be 7.41m, 13.65s and $6.4^{\circ}$ respectively at 16:00 KST of Sep. 12, 2003. 2) At the entrance of Masan Bay, 12.50m, 13.65s and $1.2^{\circ}$ at 21:00 KST of Sep. 12. 3) At the front sea of Suyoung Bay, 13.85m, 13.81s and $0.2^{\circ}$ at 22;00 KST of Sep. 12. 4) At the front sea of Ulsan port, l1.00m, 13.25s and $2.8^{\circ}$ at 23:00 KST of Sep. 12.

Applications of the Type III Asymptotic Distribution for Extreme Sea Level Computations (극한 파고 계산에 있어서 Type III 분포의 응용)

  • T.I. Lee;S.H. Kwon;Y.K. Chon
    • Journal of the Society of Naval Architects of Korea
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    • v.29 no.2
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    • pp.1-7
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    • 1992
  • The computational methods of extreme sea level are developed in this study. Based on type III asymptotic distribution, non-linear multiple regression method, skewness method and maximum likelihood method are used to evaluate the parameters of the distribution. The difference between real data and evaluated distribution function is fitted to get more desirable accuracy by employing polynominals. The numerical examples are given in the last section in order to illustrate the application of the present scheme.

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On statistical Properties of the Extreme Waves (극한파의 통계적 특성에 대한 연구)

  • Ryu, Hwang-Jin;Kim, Do-Yong
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.10a
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    • pp.309-316
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    • 2003
  • In this paper, The statistical properties of ocean waves in the sea area of Hong-do, Korea are examined based on 1998-2002's wave data from a directional wave buoy. Wave data aquisition rate, mean wave heights, frequency of wave direction are summarized. Wave height and period scatter diagrams and n-years return period wave heights are estimated. Wave periods of maximum wave heights are also estimated. Large amplitude wave characteristics during the typhoon Prapiroon in 2000, Rusa in 2002 are also examined.

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